Datasets:
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README.md
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## Dataset Description
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- **Repository:** [SAGE](https://github.com/orgs/ai-forever/sage)
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- **Paper:** [
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- **Point of Contact:** nikita.martynov.98@list.ru
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### Dataset Summary
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- `source`: a `string` feature
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- `correction`: a `string` feature
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#### MultidomainGold
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- `source`: a `string` feature
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- `correction`: a `string` feature
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#### GitHubTypoCorpusRu
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- `source`: a `string` feature
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- `correction`: a `string` feature
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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- **MedSpellChecker**: texts with errors from medical anamnesis;
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- **GitHubTypoCorpusRu**: spelling errors and typos in commits from [GitHub](https://github.com);
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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Native Russian speakers who passed the language exam.
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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The datasets we collected include large segments representing the Internet domain, and
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## Dataset Description
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- **Repository:** [SAGE](https://github.com/orgs/ai-forever/sage)
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- **Paper:** [arXiv:2308.09435](https://arxiv.org/abs/2308.09435)
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- **Point of Contact:** nikita.martynov.98@list.ru
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### Dataset Summary
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- `source`: a `string` feature
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- `correction`: a `string` feature
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- `domain`: a `string` feature
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#### MultidomainGold
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- `source`: a `string` feature
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- `correction`: a `string` feature
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- `domain`: a `string` feature
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#### GitHubTypoCorpusRu
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- `source`: a `string` feature
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- `correction`: a `string` feature
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- `domain`: a `string` feature
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## Dataset Creation
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### Source Data
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#### Initial Data Collection and Normalization
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- **MedSpellChecker**: texts with errors from medical anamnesis;
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- **GitHubTypoCorpusRu**: spelling errors and typos in commits from [GitHub](https://github.com);
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### Annotations
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Native Russian speakers who passed the language exam.
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## Considerations for Using the Data
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### Discussion of Biases
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The datasets we collected include large segments representing the Internet domain, and
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